The Behavior of VLF/LF Variations Associated with Geomagnetic Activity, Earthquakes, and the Quiet Condition Using a Neural Network Approach

• Published in: Entropy
• Main Authors: Irina Popova, Alexandr Rozhnoi, Maria Solovieva, Danila Chebrov, Masashi Hayakawa
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2018
• Subjects: earthquake precursors; magnetic storm; neural network; low frequency electromagnetic signals; Science; Q; Astrophysics; QB460-466; Physics; QC1-999; Petropavlovsk; Petropavlovsk-Kamchatsky; Kamchatka
• Online Access: https://doi.org/10.3390/e20090691; https://doaj.org/article/194bb0c8d34f462fb6626b6d32ba7052

The neural network approach is proposed for studying very-low- and low-frequency (VLF and LF) subionospheric radio wave variations in the time vicinities of magnetic storms and earthquakes, with the purpose of recognizing anomalies of different types. We also examined the days with quiet geomagnetic...